A Research Box is a research environment running in the cloud. It is a portable filesystem snapshot of a VM running a research software stack, datasets, and cloud infrastructure to run it, all bundled into one configuration package called a Research Box Package. In the simplest case, it is a single cloud virtual machine running research applications or a scientific workflow.

Here is a subset of operations you can chat with the assistant for:

• Explore cloud machine types and their pricing and capabilities
• Create a research box and configure it with a deep learning model, pipeline or research application.
• Get step-by-step instructions to use the research software stack/ML model for your workflow, including Linux commands and biology questions
• Resize your Research Box to run a powerful machine or GPU and back again
• Share a snapshot of your Research Box as a Package

The virtual desktops are launched in our Hybrid Cloud (for verified researchers), or in your Lab's AWS account (ResearchBox for Labs).

Researchers, mainly biologists. Some use cases:

• Sharing precisely replicable research workflows and computational environments
• Running analysis on very large datasets in-memory using high memory cloud machines
• Running HPC workloads on a cloud machine with hundreds of cores
• Running analysis on massive data sets without downloading to a local computer

Yes! Labs are best served by running ResearchBox.ai in your own AWS Account. This lets you access generous free tier compute resources, and manage all kinds of compute instances with the chat interface.

Yes! On the My Usage tab in the dashboard you can track running minutes and network usage for your boxes, and see how many credits you have used each day.

ResearchBox.ai is built and operated by Clusterdyne.